Lecture

Marginal Models: Interpretation and Application

In course

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Description

This lecture discusses marginal models in the context of modern regression, focusing on the interpretation and application of these models. It covers the formulation of joint log-linear models, the analysis of visual impairment data, and the assessment of fit for overdispersion. The instructor explains the statistical drawbacks of log-linear models, the implications of marginal probabilities on visual impairment, and the methods for dealing with overdispersion in data analysis.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_auk364zi

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

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